Principal Data Operations Analyst

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Principal From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Principal Data Operations Analyst Shanghai, SH, China Company Description: Job Description: Role Purpose The Principal Data Operations Analyst - CI (Output) plays a critical role in driving end-to-end operational excellence for data output delivery. This role acts as a subject-matter expert and change agent, leading continuous improvement initiatives, strengthening output quality, timeliness, and scalability, and ensuring standardized, compliant, and client-ready data delivery across complex operational environments. Key Responsibilities Continuous Improvement & Process Excellence Lead CI initiatives to improve output quality, cycle time, and efficiency. Identify root causes and implement scalable, standardized solutions. Define KPIs and success metrics for CI initiatives. Output Quality & Delivery Governance Own output quality controls and validation frameworks. Ensure compliance with global standards and SOPs. Act as escalation point for complex delivery issues. Cross-functional Collaboration Partner with Client Ops, Product, Tech, and Data Science teams. Represent Data Ops Output perspective in Data Ops forums. Coaching & Capability Building Contribute to documentation and training materials. Qualifications: Strong Data Operations and output delivery experience. Proven CI / process improvement background. Advanced analytical and problem-solving skills. Experience working in global, matrixed environments. Additional Information: Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of

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